Jet nozzle is a core component of the hydraulic perforating fracturing tool, and design structure directly affects effectiveness efficiency. In this paper, flow field characteristics nozzles are calculated by SST k- ω turbulence model. The results show that parameters significantly influence jet performance. Through orthogonal experiments, conical-cylindrical geometric preliminarily optimized a...

1! Precipitation change in response to global warming has profound impacts on 2! environment for life but is highly uncertain. Effects of sea surface temperature (SST) 3! warming on the response of rainfall and atmospheric overturning circulation are 4! investigated using Coupled Model Intercomparison Project simulations. The SST 5! warming is decomposed into a spatially uniform SST increase (S...

Some areas of the Lanzhou-Xinjiang Railway are accompanied by strong crosswinds all year. The lateral force it generates pose a threat to safe operation railway freight trains. This paper conducts numerical simulation study on three trains under five crosswind angles using CFD method in order aiming at relationship between angle and aerodynamic force. SIMPLE algorithm is used solve Reynolds-ave...

Predicting the quality of water and air is a particular challenge for forecasting systems that support them. In order to represent the small-scale phenomena, a high-resolution model needs accurate capture of air and sea circulations, significant for forecasting environmental pollution. Data assimilation is one of the state of the art methods to be used for this purpose. Due to the importance of...

Predicting the quality of water and air is a particular challenge for forecasting systems that support them. In order to represent the small-scale phenomena, a high-resolution model needs accurate capture of air and sea circulations, significant for forecasting environmental pollution. Data assimilation is one of the state of the art methods to be used for this purpose. Due to the importance of...

A primitive equation model and a statistical predictor are coupled by data assimilation in order to combine the strength of both approaches. In this work, the system of two-way nested models centred in the Ligurian Sea and the satellite-based ocean forecasting (SOFT) system predicting the sea surface temperature (SST) are used. The data assimilation scheme is a simplified reduced order Kalman f...

This article presents a new turbulence closure based on the k-ω SST model for predicting turbulent flows of Herschel–Bulkley fluids, including Bingham and power-law fluids. The has been calibrated with direct numerical simulations (DNS) data fully-developed pipe flow shear-thinning viscoplastic shows good agreement in mean velocity, average viscosity, shear stress budget friction factor. latter...

The intent of shielding functions in delayed detached-eddy simulation methods (DDES) is to preserve the wall boundary layers as Reynolds-averaged Navier–Strokes (RANS) mode, avoiding possible modeled stress depletion (MSD) or even unphysical separation due to grid refinement. An entropy function f s is introduced to construct a DDES formulation for the k-ω shear stress transport (SST) model, wh...

The study of aerosol dispersion in indoor environments is essential to understanding and mitigating airborne virus transmission, such as SARS-CoV-2. Computational Fluid Dynamics (CFD) has emerged a valuable tool for investigating dispersion, providing an alternative costly experimental methods. In this study, we investigated the performance four (4) Reynolds-averaged Navier-Stokes (RANS) turbul...

The dominant pattern of tropical and subtropical North Atlantic sea surface temperature (SST) anomalies simulated in the GFDL coupled ocean-atmosphere model is identified and compared to observations. The spatial pattern and temporal variability of that pattern resemble observational results. On interannual time scales it is shown that anomalous surface heat fluxes, consistent with variations i...